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題名 Process and performance in human-robot teams, Journal of Cognitive Engineering and Decision Making
作者 簡士鎰
Lewis, Michael;Wang, Huadong;Chien, Shih Yi;Velagapudi, Prasanna;Scerri, Paul;Sycara, Katia
Chien, Shih Yi
貢獻者 資管系
關鍵詞 human-robot interaction; automation; team processes
日期 2011-06
上傳時間 24-一月-2019 11:59:02 (UTC+8)
摘要 The authors are developing a theory for human control of robot teams based on considering how control difficulty grows with team size. Current work focuses on domains, such as foraging, in which robots perform largely independent tasks. Such tasks are particularly amenable to analysis because effects on performance and cognitive resources are predicted to be additive, and tasks can safely be allocated across operators because of their independence. The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an urban search-and-rescue (USAR) task. Two possible ways to organize operators were identified: as individual assignments of robots to operators, assigned robots, or as a shared pool in which operators service robots from the population as needed. The experiment compares two-person teams of operators controlling teams of 12 robots each in the assigned-robots condition or sharing control of 24 robots in the shared-pool condition using either waypoint control in the manual condition or autonomous path planning in the autonomy condition. Automating path planning improved system performance, but process measures suggest it may weaken situation awareness.
關聯 Journal of Cognitive Engineering and Decision Making, 5(2), 186-208
資料類型 article
DOI https://doi.org/10.1177/1555343411409323
dc.contributor 資管系
dc.creator (作者) 簡士鎰
dc.creator (作者) Lewis, Michael;Wang, Huadong;Chien, Shih Yi;Velagapudi, Prasanna;Scerri, Paul;Sycara, Katia
dc.creator (作者) Chien, Shih Yi
dc.date (日期) 2011-06
dc.date.accessioned 24-一月-2019 11:59:02 (UTC+8)-
dc.date.available 24-一月-2019 11:59:02 (UTC+8)-
dc.date.issued (上傳時間) 24-一月-2019 11:59:02 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/122156-
dc.description.abstract (摘要) The authors are developing a theory for human control of robot teams based on considering how control difficulty grows with team size. Current work focuses on domains, such as foraging, in which robots perform largely independent tasks. Such tasks are particularly amenable to analysis because effects on performance and cognitive resources are predicted to be additive, and tasks can safely be allocated across operators because of their independence. The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an urban search-and-rescue (USAR) task. Two possible ways to organize operators were identified: as individual assignments of robots to operators, assigned robots, or as a shared pool in which operators service robots from the population as needed. The experiment compares two-person teams of operators controlling teams of 12 robots each in the assigned-robots condition or sharing control of 24 robots in the shared-pool condition using either waypoint control in the manual condition or autonomous path planning in the autonomy condition. Automating path planning improved system performance, but process measures suggest it may weaken situation awareness.
dc.format.extent 121 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Cognitive Engineering and Decision Making, 5(2), 186-208
dc.subject (關鍵詞) human-robot interaction; automation; team processes
dc.title (題名) Process and performance in human-robot teams, Journal of Cognitive Engineering and Decision Making
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1177/1555343411409323
dc.doi.uri (DOI) https://doi.org/10.1177/1555343411409323